1 DFQM, Federal University of São Carlos, Sorocaba, São Paulo, Brazil. 2 Federal University of Alfenas-MG, Poços de Caldas, Minas Gerais, Brazil.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Samuel Alito says Supreme Court responding to Trump acting 'aggressively' Search for missing swimmer suspended; witness saw shark with body in its mouth Johnny Carson book exposes 'Tonight Show' ban ...

Companies like OpenAI and China’s DeepSeek offer chatbots designed to take their time with an answer. Here’s how they work. By Cade Metz and Dylan Freedman Cade Metz reported from San Francisco and ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...